I am heading the Cognitive Computer Vision Group
at the Institute of Computer Science III at the
university of Bonn.
In our research on cognitive computer vision, we
investigate concepts of the human visual system
and develop algorithms that follow these mechanisms to solve computer vision tasks.
We follow this approach since we believe that there
are great opportunities for technical systems in better understanding
and exploiting the concepts that make human vision so powerful.
Especially the generalization capabilities of human perception as well
as the ability to cope with noise, clutter, and with new situations
still outperform current machine vision systems
considerably. Vision systems of the future have to be
robust, flexible, efficient, and intuitive to
interact with — properties that humans have and that are worth being investigated in depth.
The research topics of our group include object discovery, visual attention and
saliency detection, visual tracking of objects and persons, and visual SLAM
(simultaneous localization and mapping).
Find more about our research on my
Additionally, have organized the
Bonn Vision Workshop 2009 and its successor, the
Bonn Vision Workshop 2013, and
I was an editor of the
German Journal on Artificial Intelligence (KI-Zeitschrift) from 2010 - 2014.
The issue about "Bio-inspired Vision Systems" (appeared Feb. 2015, guest
editors: Michael Zillich and Norbert Krüger), which I
supervised as a liason editor (Pate), can be found
1) We obtained the best paper award for our ICVS 2015 paper:
"Saliency-Guided Object Candidates Based on Gestalt Principles",
Thomas Werner, Germán Martín García, and Simone Frintrop.
2) The code of our
VOCUS2 saliency system (CVPR 2015) is online.